Amazon CloudWatch is a native AWS monitoring tool for AWS programs. It provides data collection and resource monitoring capabilities.
$0
per canary run
Splunk AppDynamics
Score 8.4 out of 10
N/A
AppDynamics is an APM and Mobile APM program, with application mapping and predictive capabilities. These capacities enable automated remediation and code-level diagnostics in real time. It can be deployed on-premise or as a SaaS.
N/A
Pricing
Amazon CloudWatch
Splunk AppDynamics
Editions & Modules
Canaries
$0.0012
per canary run
Logs - Analyze (Logs Insights queries)
$0.005
per GB of data scanned
Over 1,000,000 Metrics
$0.02
per month
Contributor Insights - Matched Log Events
$0.02
per month per one million log events that match the rule
Logs - Store (Archival)
$0.03
per GB
Next 750,000 Metrics
$0.05
per month
Next 240,000 Metrics
$0.10
per month
Alarm - Standard Resolution (60 Sec)
$0.10
per month per alarm metric
First 10,000 Metrics
$0.30
per month
Alarm - High Resolution (10 Sec)
$0.30
per month per alarm metric
Alarm - Composite
$0.50
per month per alarm
Logs - Collect (Data Ingestion)
$0.50
per GB
Contributor Insights
$0.50
per month per rule
Events - Custom
$1.00
per million events
Events - Cross-account
$1.00
per million events
CloudWatch RUM
$1
per 100k events
Dashboard
$3.00
per month per dashboard
CloudWatch Evidently - Events
$5
per 1 million events
CloudWatch Evidently - Analysis Units
$7.50
per 1 million analysis units
No answers on this topic
Offerings
Pricing Offerings
Amazon CloudWatch
Splunk AppDynamics
Free Trial
Yes
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
With Amazon CloudWatch, there is no up-front commitment or minimum fee; you simply pay for what you use. You will be charged at the end of the month for your usage.
We use Cloudwatch for simpler monitoring, but these metrics and logs often feed into bigger ecosystems across our organization. The metrics and logs in Cloudwatch allow our developers quick and easy access to the data they need whilst easily integrating the same data into more …
Grafana is definitely a lot better and flexible in comparison with Amazon CloudWatch for visualisation, as it offers much more options and is versatile. VictoriaMetrics and Prometheus are time-series databases which can do almost everything cloudwatch can do in a better and …
In comparison to its competitors, Amazon CloudWatch is efficient, reliable, and has a fast response time, and it maximizes an application's life while also providing the best load balance and storage. The services that Amazon CloudWatch provides are far better and cheaper for …
We have also tested with SolarWinds NPM, and Zoho Monitors. They seemed to work fine and setup was not as involved as Amazon services, JSON, etc. However, the issue of upgrades made the other solutions incur more downtime overall for maintenance and software upgrades via the …
I think there is no alternative of [Amazon] CloudWatch service. However it provides lot of glue points which you can use to show different metrics, trigger events and update your dashboards.
I believe that CloudWatch is a better solution to use with AWS services and resources in terms of cost and ease of integration with AWS infrastructure services. But keep in mind that Elasticsearch is better at aggregating application-level metrics. We chose CloudWatch because of …
We found that CloudWatch is the best solution to use with AWS services in terms of cost and ease of integration with AWS infrastructure services. While Elasticsearch is better at aggregating application-level metrics, CloudWatch wins out in its capabilities to tightly integrate …
CloudWatch is the minimum viable product that is used as your baseline. Once you graduate beyond the basic needs, there is a wide range of tools from other AWS partners that go well above and beyond. However the cost of those tools is typically considerably more.
We thought about using Logstash for capturing our data. But we encountered several configuration issues, so as I mentioned before, if you're using AWS, the best way to do this is using the service they offer, as you don't encounter configuration problems. This is why I consider …
I think Amazon has put more efforts to develop AWS CloudWatch features to monitor each kind of AWS service you can use instead of Dynatrace One Agent that just can monitor some variables of Computing services and FaaS, unless Dynatrace One Agent integration with AWS CloudWatch …
Out of the box monitoring which compliments workloads implemented from infrastructure as code so we have standardized metrics across all our monitoring for our AWS workloads. Also incredibly easy to implement via the console which can be done in minutes oppose to hours of …
We choose Amazon CloudWatch because, first, we use AWS and we need a monitoring tool. That is why we considered CloudWatch as soon as we started deploying AWS services to our company. Second, CloudWatch is a great, handy tool to monitor our services. Its strength is obvious …
Currently, we only tried and used Cloud Watch, but for AWS it is perfect. Since this is an Amazon product monitoring Amazon services, integration is great. If we decide in the future to move away from AWS, we would reconsider changing alarm monitoring. AWS can be costly …
Amazon CloudWatch is fully integrated into your existing AWS account, and provides easy hooks into several different services to make a cohesive infrastructure. Unfortunately, using other services will not allow you to get into the weeds to do everything Amazon CloudWatch can …
CloudWatch is incredibly cheap compared to new relic and much more intuitive and easy to use than Nagios. It requires no setup, expertise, or otherwise extensive knowledge to use.
We used to use Miscosoft Azure, however when we came across Amazon CloudWatch, and all the features it can provide, it seemd no brainer to switch. We transitioned from Azure to CloudWatch within 2 years of using Azure, And may not go back. Hopefully Amazon will keep adding more …
Amazon CloudWatch is great in terms of the CloudWatch Logs feature, it integrates easily with other AWS services (CloudFormation, S3, Lambda, etc.) and is reasonably low cost, so it was a no-brainer for that area. For alerting, CloudWatch didn't offer much in the way of …
I feel that CloudWatch will always remain the backbone of log analytics, events, and alarms. However, we can use other products in conjunction with it for better log analytics and monitoring. In my organization, we also ingest logs from CloudWatch to Splunk and ELK. This way we …
In our organization we haven't directly used many alternatives but we have evaluated Splunk AppDynamics and Dynatrace . From what i have seen Dynatrace for is for its strong automation and AI based issue detection , especially arround root cause analysis.
At that time, AppDynamics was performing well and securely in the enterprise environment and was well adapted to all monitoring and observability features, so AppD was chosen over Datadog. Now the organization has started using Datadog for a few applications.
Splunk AppDynamics is a quite renowned player and can be called legacy in front of them and apart from that, its integration with various services is unmatched.
Splunk AppDynamics is ideal for enterprises seeking business-centric observability with fast, out-of-the-box performance monitoring. It connects application health to business outcomes through Business iQ, enabling real-time insights for stakeholders. With broad technology …
Our organization prefers AppDynamics for its focus on user experience and business metrics which is quite useful for aligning IT performance with organization goal. it is also known for its AI driven insights and monitoring capabilities making it very effective as compares to …
AppDynamics is easy to use, very good monitoring and provides us with detailed information about the performance of the underlying infrastructure, including servers, database,and external services.
AppDynamics is a mature product with probably the simplest of UIs to use which is a huge benefit. I can train users to be proficient in AppDynamics in under an hour. But the product can definitely do some very advanced operations... depending on the need.
It differs from these programs because it integrates seamlessly with a wide range of technologies and platforms and has strong integration capabilities, a crucial factor in adapting to different technology stacks.
It is distinguished from these programs because the platform provides visualizations of application processes, showing the interplay between various parts and services. Understanding the architecture of complicated apps and finding their weak spots is greatly aided by this.
AppDynamics excels at delivering extensive insights into the performance of apps at the code level. It enables developers to zero in on certain lines of code or modules that are causing performance difficulties, making it possible for more effective debugging and optimization. …
It's easy to customize alerts into easy notifications, view everything in a graphical manner, and it's easy to understand. AppDynamics helps us to understand and monitor our network and servers related issues before they cause an impact on our business processes or clients. …
I have used Splunk for a short period. It was difficult to connect with the server and it takes much time to connect with the central server but AppDynamics is quite fast in it. Plus the service handlers for Splunk were a little ignorant their response was usually late in …
Unfortunately, I wasn't in the company when the decision was made, hence can tell just because. What I can tell from my experience, it was not a bad choice and alternatives like New Relic or Datadog provide more or less similar functionality. In most cases the main reasons are …
If you use any AWS services, CloudWatch is the natural choice to monitor & troubleshoot your workload. Thankfully, for most AWS services, CloudWatch is either built-in or very easy to set up. However, being proficient in browsing & tracking the log events would take some training & practice. Having some experienced people on the team would help immensely, especially in spreading the skill to the rest of the team.
Platforms for software as a service (SaaS) frequently cater to a large number of users with a variety of needs and usage patterns. Because AppDynamics offers multi-tenant monitoring capabilities to track performance across various customer environments, it is a good choice for SaaS platform monitoring. SaaS providers can maximize resource utilization, proactively detect and resolve performance issues, and provide a dependable and consistent user experience for their clients with AppDynamics.
It provides lot many out of the box dashboard to observe the health and usage of your cloud deployments. Few examples are CPU usage, Disk read/write, Network in/out etc.
It is possible to stream CloudWatch log data to Amazon Elasticsearch to process them almost real time.
If you have setup your code pipeline and wants to see the status, CloudWatch really helps. It can trigger lambda function when certain cloudWatch event happens and lambda can store the data to S3 or Athena which Quicksight can represent.
Business Transaction Monitoring is one of its signature strengths. This represents a major differentiator from generic infrastructure monitoring tools.
AI‑driven anomaly detection and intelligent alerting provide a significant advantage over traditional monitoring.
When combined with Splunk AppDynamics, full‑stack observability becomes a key part of Cisco/Splunk’s unified observability strategy.
Memory metrics on EC2 are not available on CloudWatch. Depending on workloads if we need visibility on memory metrics we use Solarwinds Orion with the agent installed. For scalable workloads, this involves customization of images being used.
Visualization out of the box. But this can easily be addressed with other solutions such as Grafana.
By design, this is only used for AWS workloads so depending on your environment cannot be used as an all in one solution for your monitoring.
Improving the clarity and comprehensiveness of the documentation could benefit users. Clearer documentation ensures that users can make the most of all the functionalities
Leverages AI and machine learning for intelligent insights, aiding in issue identification and prediction.
Competitive, with AI-driven features becoming increasingly common in APM solutions.
cause it achieves all our targets and we are satisfied with using Splunk also stable no technical challenges or problem caused by Splunk a lot for innovative integrations also all layers are using splunk NOC team , DEV team, application support team, managers security team also in forcasting for EA team
Although the tool itself is easy to integrate and is readily available for use, it has its limitations. The key limitations of cloudwatch are with respect to cost incurred on log retention and log querying. While for key use cases this is sufficient, for more advanced use cases, Amazon CloudWatch doesn't work out. Also, obviously it is tightly coupled with AWS, which makes you look away if you need a single tool for all monitoring
Splunk AppDynamics is great product that has positively maintained solid application workflows. It has simple and clean UI that displays graphical representation of our database and application behaviour. It gives us an opportunity to customize and set most reliable alerts and data configurations that aligns with our policies. It is easy to monitor operation hypothesis and lower RCA if you identify application coding errors.
On a scale of 1 to 10, I would rate the availability of Splunk AppDynamics as a 9. Overall, the platform has proven to be highly reliable and is available when we need it. It consistently supports our monitoring and performance management needs across critical applications and infrastructure. There have been occasional issues with platform availability, such as intermittent application errors or brief unplanned outages. However, these instances have been infrequent and typically resolved quickly, minimizing any significant impact on operations. The stability and uptime of the platform have met our expectations, and we continue to rely on it as a core component of our APM strategy.
On a scale of 1 to 10, I would rate the performance of Splunk AppDynamics as a 6. While the platform generally delivers the expected functionality, we’ve experienced periodic slowness—particularly with page loads and report generation. These performance issues can be frustrating, especially when trying to quickly access critical data during incident response or analysis. One contributing factor may be our use of a shared controller environment with other enterprises, which can introduce resource contention and impact overall responsiveness. In some cases, this has led to delays in accessing dashboards or completing complex queries. Despite these challenges, the platform remains a valuable tool, and we’re exploring options to improve performance, including potential changes to our deployment model and support agreements.
Support is effective, and we were able to get any problems that we couldn't get solved through community discussion forums solved for us by the AWS support team. For example, we were assisted in one instance where we were not sure about the best metrics to use in order to optimize an auto-scaling group on EC2. The support team was able to look at our metrics and give a useful recommendation on which metrics to use.
AppDynamics has its own community site that includes forums and a knowledge base. On the forums, you can converse with other members of the community and ask technical questions as you have them. Though this forum isn’t filled with people there are active members for you to gain some valuable insights.
On a scale of 1 to 10, I would rate the online training for Splunk AppDynamics as a 7. The training was generally acceptable and covered the core concepts and functionality of the platform. However, there were some challenges with communication during sessions—particularly around clarity and instructor engagement—which occasionally made it difficult to fully grasp certain topics. Additionally, the training could benefit from being more focused and tailored to specific roles or use cases. A more structured approach with clearer learning paths and practical, hands-on examples would enhance the overall effectiveness and help users apply the knowledge more confidently in real-world scenarios.
On a scale of 1 to 10, I would rate our satisfaction with the implementation of Splunk AppDynamics as a 9. The deployment process was smooth and well-coordinated, thanks to the collaborative efforts between Cisco Professional Services, our internal business stakeholders, and agency technical teams. Key Insights from the Implementation: Cross-functional Collaboration Was Critical: Engaging both technical and business teams early in the process ensured that the platform was configured to meet a wide range of operational and strategic needs. Value of Expert Guidance: Cisco’s Professional Services provided invaluable expertise, helping us navigate complex configurations and tailor the solution to our environment. Their involvement accelerated deployment and ensured best practices were followed. Importance of Planning and Communication: A well-defined implementation roadmap and regular communication across teams helped us stay aligned, manage expectations, and address challenges proactively. Scalable Architecture: We designed the implementation with scalability in mind, allowing us to expand usage across agencies and applications without major rework. Overall, the implementation laid a strong foundation for our APM program and positioned us for long-term success.
We use Cloudwatch for simpler monitoring, but these metrics and logs often feed into bigger ecosystems across our organization. The metrics and logs in Cloudwatch allow our developers quick and easy access to the data they need whilst easily integrating the same data into more prominent platforms for wider analysis, including Service desk support, SecOps, and ITOps monitoring within the organization.
It is distinguished from these programs because the platform provides visualizations of application processes, showing the interplay between various parts and services. Understanding the architecture of complicated apps and finding their weak spots is greatly aided by this.
On a scale of 1 to 10, I would rate the overall scalability of Splunk AppDynamics as a 7. The platform is designed to support enterprise-wide deployments across multiple departments and sites, and it performs well in large-scale environments. Its architecture allows for horizontal scaling and supports a wide range of application types and infrastructures. However, the agent management and deployment process can be complex and time-consuming, especially when onboarding a large number of applications or systems. Coordinating agent installation, configuration, and updates across diverse environments requires careful planning and often significant manual effort. Streamlining these processes—perhaps through more centralized management tools or automation—would enhance scalability and reduce operational overhead. Despite these challenges, once deployed, AppDynamics scales effectively and provides consistent performance and visibility across the enterprise.
We can optimize infrastructure utilization and lower cloud or server costs by locating and removing resource-intensive bottlenecks with the aid of AppDynamics.
Building trust with external stakeholders and encouraging accountability within our organization, AppDynamics' comprehensive reporting and monitoring capabilities offer transparency into the health of applications.
We can find bugs earlier and improve development workflows with the help of AppDynamics' real-time insights and code-level profiling.